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Toward identifying reproducible brain signatures of obsessive-compulsive profiles : rationale and methods for a new global initiative

dc.contributor.authorSimpson, Helen Blairen_ZA
dc.contributor.authorVan Den Heuvel, Odile A.en_ZA
dc.contributor.authorMiguel, Euripedes C.en_ZA
dc.contributor.authorReddy, Y. C. J.en_ZA
dc.contributor.authorStein, Dan J.en_ZA
dc.contributor.authorLewis-Fernandez, Robertoen_ZA
dc.contributor.authorShavitt, Roseli Gedankeen_ZA
dc.contributor.authorLochner, Christineen_ZA
dc.contributor.authorPouwels, Petra J. W.en_ZA
dc.contributor.authorNarayanawamy, Janardhanan C.en_ZA
dc.contributor.authorVenkatasubramanian, Ganesanen_ZA
dc.contributor.authorHezel, Dianne M.en_ZA
dc.contributor.authorVriend, Chrisen_ZA
dc.contributor.authorBatistuzzo, Marcelo C.en_ZA
dc.contributor.authorHoexter, Marcelo Q.en_ZA
dc.contributor.authorDe Joode, Niels T.en_ZA
dc.contributor.authorCosta, Daniel Lucasen_ZA
dc.contributor.authorDe Mathis, Maria Aliceen_ZA
dc.contributor.authorSheshachala, Karthiken_ZA
dc.contributor.authorNarayan, Madhurien_ZA
dc.contributor.authorVan Balkom, Anton J. L. M.en_ZA
dc.contributor.authorBatelaan, Neeltje M.en_ZA
dc.contributor.authorVenkataram, Shivakumaren_ZA
dc.contributor.authorCherian, Anishen_ZA
dc.contributor.authorMarincowitz, Claraen_ZA
dc.contributor.authorPannekoek, Nienkeen_ZA
dc.contributor.authorStovezky, Yael R.en_ZA
dc.contributor.authorMare, Karenen_ZA
dc.contributor.authorLiu, Fengen_ZA
dc.contributor.authorOtaduy, Maria Concepcion Garciaen_ZA
dc.contributor.authorPastorello, Brunoen_ZA
dc.contributor.authorRao, Rashmien_ZA
dc.contributor.authorKatechis, Marthaen_ZA
dc.contributor.authorVan Meter, Page
dc.contributor.authorWall, Melanieen_ZA
dc.date.accessioned2020-02-17T05:14:50Z
dc.date.available2020-02-17T05:14:50Z
dc.date.issued2020-02-14
dc.identifier.citationSimpson, H. B., et al. 2020. Toward identifying reproducible brain signatures of obsessive-compulsive profiles : rationale and methods for a new global initiative. BMC Psychiatry, 20:68, doi:10.1186/s12888-020-2439-2
dc.identifier.issn1471-244X (online)
dc.identifier.otherdoi:10.1186/s12888-020-2439-2
dc.identifier.urihttp://hdl.handle.net/10019.1/107489
dc.descriptionCITATION: Simpson, H. B., et al. 2020. Toward identifying reproducible brain signatures of obsessive-compulsive profiles : rationale and methods for a new global initiative. BMC Psychiatry, 20:68, doi:10.1186/s12888-020-2439-2.
dc.descriptionThe original publication is available at https://bmcpsychiatry.biomedcentral.com/
dc.description.abstractBackground: Obsessive-compulsive disorder (OCD) has a lifetime prevalence of 2–3% and is a leading cause of global disability. Brain circuit abnormalities in individuals with OCD have been identified, but important knowledge gaps remain. The goal of the new global initiative described in this paper is to identify robust and reproducible brain signatures of measurable behaviors and clinical symptoms that are common in individuals with OCD. A global approach was chosen to accelerate discovery, to increase rigor and transparency, and to ensure generalizability of results. Methods: We will study 250 medication-free adults with OCD, 100 unaffected adult siblings of individuals with OCD, and 250 healthy control subjects at five expert research sites across five countries (Brazil, India, Netherlands, South Africa, and the U.S.). All participants will receive clinical evaluation, neurocognitive assessment, and magnetic resonance imaging (MRI). The imaging will examine multiple brain circuits hypothesized to underlie OCD behaviors, focusing on morphometry (T1-weighted MRI), structural connectivity (Diffusion Tensor Imaging), and functional connectivity (resting-state fMRI). In addition to analyzing each imaging modality separately, we will also use multi-modal fusion with machine learning statistical methods in an attempt to derive imaging signatures that distinguish individuals with OCD from unaffected siblings and healthy controls (Aim #1). Then we will examine how these imaging signatures link to behavioral performance on neurocognitive tasks that probe these same circuits as well as to clinical profiles (Aim #2). Finally, we will explore how specific environmental features (childhood trauma, socioeconomic status, and religiosity) moderate these brain-behavior associations. Discussion: Using harmonized methods for data collection and analysis, we will conduct the largest neurocognitive and multimodal-imaging study in medication-free subjects with OCD to date. By recruiting a large, ethno-culturally diverse sample, we will test whether there are robust biosignatures of core OCD features that transcend countries and cultures. If so, future studies can use these brain signatures to reveal trans-diagnostic disease dimensions, chart when these signatures arise during development, and identify treatments that target these circuit abnormalities directly. The long-term goal of this research is to change not only how we conceptualize OCD but also how we diagnose and treat it. Obsessive-compulsive disorder (OCD) has a lifetime prevalence of 2–3% and is a leading cause of global disability. Brain circuit abnormalities in individuals with OCD have been identified, but important knowledge gaps remain. The goal of the new global initiative described in this paper is to identify robust and reproducible brain signatures of measurable behaviors and clinical symptoms that are common in individuals with OCD. A global approach was chosen to accelerate discovery, to increase rigor and transparency, and to ensure generalizability of results. Methods We will study 250 medication-free adults with OCD, 100 unaffected adult siblings of individuals with OCD, and 250 healthy control subjects at five expert research sites across five countries (Brazil, India, Netherlands, South Africa, and the U.S.). All participants will receive clinical evaluation, neurocognitive assessment, and magnetic resonance imaging (MRI). The imaging will examine multiple brain circuits hypothesized to underlie OCD behaviors, focusing on morphometry (T1-weighted MRI), structural connectivity (Diffusion Tensor Imaging), and functional connectivity (resting-state fMRI). In addition to analyzing each imaging modality separately, we will also use multi-modal fusion with machine learning statistical methods in an attempt to derive imaging signatures that distinguish individuals with OCD from unaffected siblings and healthy controls (Aim #1). Then we will examine how these imaging signatures link to behavioral performance on neurocognitive tasks that probe these same circuits as well as to clinical profiles (Aim #2). Finally, we will explore how specific environmental features (childhood trauma, socioeconomic status, and religiosity) moderate these brain-behavior associations. Discussion Using harmonized methods for data collection and analysis, we will conduct the largest neurocognitive and multimodal-imaging study in medication-free subjects with OCD to date. By recruiting a large, ethno-culturally diverse sample, we will test whether there are robust biosignatures of core OCD features that transcend countries and cultures. If so, future studies can use these brain signatures to reveal trans-diagnostic disease dimensions, chart when these signatures arise during development, and identify treatments that target these circuit abnormalities directly. The long-term goal of this research is to change not only how we conceptualize OCD but also how we diagnose and treat it.en_ZA
dc.description.urihttps://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-020-2439-2?utm_source=other&utm_medium=other&utm_content=null&utm_campaign=BSCN_2_DD01_CN_bmcso_article_paid_XMOL
dc.format.extent14 pagesen_ZA
dc.language.isoen_ZAen_ZA
dc.publisherBMC (part of Springer Nature)en_ ZA
dc.subjectObsessive-compulsive disorderen_ZA
dc.subjectBrain — Imagingen_ZA
dc.subjectFunctional magnetic resonance imagingen_ ZA
dc.subjectCognitive neuroscienceen_ZA
dc.titleToward identifying reproducible brain signatures of obsessive-compulsive profiles : rationale and methods for a new global initiativeen_ZA
dc.typeArticleen_ZA
dc.date.updated2020-02-16T04:22:40Z
dc.description.versionPublisher's version
dc.rights.holderAuthors retain copyrighten_ ZA


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